Scan to PDF Premium
Reconstruct handwritten notes and scans as searchable PDFs with closely preserved layout, positioned side notes, editable output and detailed visual review.
$10
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsScan to PDF Premium
Example session with this skill installed
Use scan-to-pdf-premium to render the included synthetic examples/layout.json as a searchable PDF. Keep its positioned blue side note, connector arrows, table, highlighted heading, diagram and mathematical notation. Deliver the PDF, editable bundle and review notes. This is a renderer demonstration, not a handwriting-recognition benchmark.
- Read your context and instructions
- Compiled the scan to pdf
Synthetic Premium demonstration
The included layout produced a one-page, 600 x 840 point searchable PDF, an editable ZIP, and a review report. The rendered PDF was visually inspected and all 21 supplied text regions passed extraction checks. No source handwriting was used.
Page content
Experiment notes appears on a yellow highlight.
Speed = distance / time
Repeat each run three times.
A blue side note, positioned at the right with an arrow, reads: Check units / before calculating.
| Run | Distance (m) | Time (s) |
|---|---|---|
| 1 | 12 | 3 |
| 2 | 15 | 5 |
| 3 | 20 | 4 |
The right-side diagram contains Start and Measure boxes connected by a downward arrow.
Next session
Repeat run 2. [unclear]
Example notation: x² + y₁
Review and editable delivery
The editable ZIP contains layout.json and review.md. The heading, individual text regions, table, shapes, arrows and diagram labels remain editable in the layout format. The example contains no retained image regions. Fonts and the renderer are not bundled with the editable output.
The literal [unclear] marker belongs to the synthetic input. This example demonstrates positioned rendering and output checks; it does not establish handwriting-recognition accuracy or source-to-output fidelity on a real scan.
Connects securely to your tools. The creator never sees your data.
About this skill
Turn handwritten notes, photographed pages, scans and mixed printed/handwritten PDFs into typed, searchable PDFs with closely preserved spatial layout. Premium is the full reconstruction workflow: positioned text, original line breaks and whitespace, columns, side notes, colors, tables, practical diagrams and supported mathematical notation.
Included delivery: a searchable PDF, an editable layout ZIP containing portable layout JSON and retained figures, and review notes covering visual checks, uncertainties and image-only regions. The editable format is structured JSON, not a Word document.
Your agent inspects full pages and overlapping source tiles, reconstructs content in place, then compares every output page and source region. Four standalone Python helpers prepare page images, render positioned layouts, check PDF geometry and supplied-text extraction, and package editable output.
Unreadable handwriting is flagged. Difficult figures or notation can remain cropped source images in their original positions; those regions are disclosed and are not automatically searchable. Replacing handwriting with type changes letter shapes. Perfect recognition and pixel-identical appearance are not guaranteed.
Requires an agent with image inspection, file access and Python execution; Pillow, pypdf, ReportLab, Poppler pdftoppm for PDF preparation/review, and Unicode TrueType fonts covering the source languages. Complex text shaping needs verification or another suitable renderer. The host agent performs recognition; the helpers do not perform automatic OCR and require no OCR API key. Agent usage costs and setup are separate.
Compared with free Standard, Premium adds detailed spatial reconstruction, regional visual comparison, editable delivery and review notes. Price: $10 one-time.
Requires host vision and Python environment with Pillow, pypdf, and ReportLab. Does not support automated font matching or network-based OCR. Handwritten recognition is model-dependent.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
Security scanned
Checked by our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scan
Security scan passed today
Requires
PythonPermissions
Reads user-supplied documents, creates page renders, tiles, layout JSON and retained figure crops, writes a new PDF and review report, and creates an editable ZIP. Helpers make no network calls or environment-variable reads. Original files and existing output paths are protected from overwrite. Agensi may materialize helpers in temporary files.